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Data Scientist

1 month ago
Mexico
Full-time
Senior
Data Scientist
Data Science and Analytics
Apache Spark AWS CI/CD Databricks Generative AI Git LLM Machine Learning MLOps NLP Python SQL Statistics
Apply Now
Traackr

Traackr

Traackr is the leading data-driven influencer marketing software that empowers marketers to find influencers, manage campaigns, and access insightful reporting. Our platform supports influencer marketing strategies, streamlines campaigns, and scales gl...

Internet Software & Services
51-250
Founded 2009
$13M raised
View All Jobs 4

Description

  • Partner with Product and Engineering to identify high-impact opportunities, define success metrics, and choose pragmatic approaches to problem-solving.
  • Lead rigorous experimentation, including hypothesis design, metric and guardrail definition, power analysis, A/B testing or quasi-experiments, and decision-oriented readouts.
  • Build and iterate on ML and AI capabilities for production use, including classification, information extraction, ranking/recommendations, and GenAI components such as RAG and agent harnesses.
  • Establish evaluation practices for ML and LLM features, including golden datasets, offline and online evaluation plans, regression suites, and monitoring for quality drift.
  • Coach engineers and teams on AI best practices, including prompt patterns, tool/function calling, structured outputs, guardrails, and debugging workflows.
  • Design and support agentic workflows with clear constraints, observability, and fallback mechanisms.
  • Support the end-to-end lifecycle of deployed models and AI systems, including data requirements, training or fine-tuning, validation, deployment, monitoring, incident response, and continuous improvement.
  • Create reusable assets such as evaluation harnesses, shared datasets, templates, and documentation, and run enablement workshops.
  • Communicate analyses, insights, and tradeoffs clearly to technical and non-technical stakeholders to drive decisions and measurable impact.
  • Champion responsible and privacy-aware AI practices, including appropriate data handling, bias and fairness considerations, and human-in-the-loop workflows where needed.

Requirements

  • 3+ years of experience delivering data science work that shipped to production and/or materially influenced product direction.
  • Experience collaborating cross-functionally and communicating clearly with diverse stakeholders, with the ability to influence without authority.
  • Strong Python and SQL skills, with the ability to write maintainable, production-quality code, including testing, reviews, and documentation.
  • Demonstrated mentorship or enablement experience helping engineers and teams adopt best practices and ship faster with higher quality.
  • Strong applied statistics and experimentation skills, including A/B testing, causal thinking, metric design, and interpretation under uncertainty.
  • Proven ability to evaluate and improve models in real-world conditions through dataset design, error analysis, offline metrics, online measurement, monitoring, and iteration.
  • Hands-on experience building with LLMs in product contexts, including RAG/grounding, tool/function calling, structured outputs, prompt iteration, and quality/cost/latency tradeoffs.
  • Practical approach to LLM evaluation, including golden sets, regression testing, human review loops, and monitoring for quality drift.
  • Experience with modern MLOps or LLMOps practices such as experiment tracking, ETL pipelines, versioning, CI/CD for ML, and observability.
  • Experience with NLP and information extraction or classification on noisy social or content data.
  • Experience developing and evaluating large-scale retrieval, recommendation, and search systems.
  • Preferred experience with large-scale data and analytics platforms, Spark or other distributed computing, Databricks or similar data lake technologies, and cloud providers such as AWS or equivalent.

Benefits

  • Competitive salary of $75,000 - $85,000 a year.
  • Remote work options with hybrid flexibility and a home office setup stipend.
  • Coworking office subscription for collaborative spaces.
  • Health, dental, and life insurance coverage.
  • Open vacation policy and a flexible holiday schedule.
  • Paid parental leave.
  • Career development support, including internal and external training opportunities.

Interested in this position?

Apply directly on the company website

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